Decision support for diagnosis of lyme disease

Studies in Health Technology and Informatics

Volumn 116, Issue , 2005, Pages 205-210

  Hejlesen, Ole K ^a   Olesen, Kristian G ^a   Dessau, Ram ^b   Beltoft, Ivan ^a   Trangeled, Michael ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b NAESTVED HOSPITAL   (Denmark)

Author keywords

Bayesian networks; Borrelia; Decision support; Lyme disease

Indexed keywords

BIOINFORMATICS; DECISION SUPPORT SYSTEMS; DIAGNOSIS; GRAPHICAL USER INTERFACES; INFORMATION USE; INTEGRATION; MEDICAL INFORMATION SYSTEMS;

APPLICATION FRAMEWORKS; BORRELIA; CONDITIONAL PROBABILITIES; DATABASE COMPONENTS; DECISION SUPPORTS; DEVELOPMENT PATTERNS; GENERAL PRACTITIONERS; LYME DISEASE;

BAYESIAN NETWORKS;

BAYES THEOREM; DECISION SUPPORT SYSTEM; FACTUAL DATABASE; HUMAN; LYME DISEASE;

BAYES THEOREM; DATABASES, FACTUAL; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; LYME DISEASE;

EID: 33847132889     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (7)

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2. Smith M, Gray J, Granström M, Revie C, and Gettinby G. European Concerted Action on Lyme Borreliosis. http://vie.dis.strath.ac.uk/vie/LymeEU, read 30-01-2005.
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